Attribution Gaps in Zero-Training LLM+OVOD Pipelines: A Fine-Grained Analysis of the CAAP--SNAP Discrepancy

arXiv:2609.32567 · cs.CV, cs.CL · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.CL

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Grounding — 11× in this paper · explained in 3 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Benchmark — 7× in this paper · explained in 2 episodes
• Hallucination — 6× in this paper · explained in 4 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• European Conference on Computer Vision — 4× in this paper
• Ontology — 3× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes

Sources

• Gemma 3 Technical Report
• LLM-Guided Agentic Object Detection for Open-World Understanding
• Qwen2.5-VL Technical Report

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